Course Details
Data Mining and Machine Learning
Course Code COMP809
EFTS 0.1250
Points 15.00
Level 8
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Prescriptor
Studies and evaluates data mining techniques such as Decision Tree classifiers, Bayesian classifiers, Apriori techniques for discovering associations between features, clustering algorithms, and neural network technology. Critically analyses the link between traditional statistical analysis and data mining.
Resources
No Resource is available.
Qualifications
The course is available as part of the following qualifications.
Expand to see requisite details. Points
  AK2037   Master of Science   (MSc)
180.00
  DJ1040   Bachelor of Science (Honours)   (BSc(Hons))
120.00
No requisite courses specified.
  AK2040   Bachelor of Advanced Science (Honours)   (BSc(AdvSci)(Hons))
480.00
  HA1039   Postgraduate Certificate in Science   (PgCertSc)
60.00
  AK1321   Master of Analytics   (MAnalytics)
180.00
  AK1329   Master of Computer and Information Sciences   (MCIS)
180.00
  DJ2037   Master of Science   (MSc)
180.00
  AK3746   Postgraduate Certificate in Computer and Information Sciences   (PgCertCIS)
60.00
  DJ1039   Postgraduate Certificate in Science   (PgCertSc)
60.00
  AK3745   Postgraduate Diploma in Computer and Information Sciences   (PgDipCIS)
120.00
  DJ1038   Postgraduate Diploma in Science   (PgDipSc)
120.00
  HA1038   Postgraduate Diploma in Science   (PgDipSc)
120.00
  HA1037   Master of Science (Research)   (MSc (Res))
240.00
  HA1040   Bachelor of Science (Honours)   (BSc(Hons))
120.00
  HA2037   Master of Science   (MSc)
180.00
  ICE1   Individual Course Enrolment   (ICE)
0.00
  SABRD1   Study Abroad   (Study Abroad)
0.00
  INEXCH1   International Exchange (Inbound)   (INEXCH)
0.00
Timetable
2027, Standard Semester 1
Class Stream Starting Ending Day Time Room
COMP809/W101  A  22-Feb-2027  24-May-2027  MON  12:00 PM - 1:00 PM  WG126 
    24-Feb-2027  26-May-2027  WED  6:00 PM - 8:00 PM  WZ514 
COMP809/W102  A  22-Feb-2027  24-May-2027  MON  12:00 PM - 1:00 PM  WG126 
    23-Feb-2027  25-May-2027  TUE  10:00 AM - 12:00 PM  WZ519 
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